Publication
Model predictive control for combined water supply and navigability/sustainability in river systems
Book Chapter (2015)
Book Title
Transport of Water versus Transport over Water
Publisher
Springer
Pages
13-33
Volume
58
Serie
Operations Research/Computer Science Interfaces Series
Doc link
http://dx.doi.org/10.1007/978-3-319-16133-4_2
File
Abstract
In this chapter, a methodology for the optimal management of combined water supply and navigability/sustainability in river systems based on model predictive control (MPC) is proposed. A control-oriented modeling methodology for this type of systems is presented as well. MPC is used to generate flow-control strategies from the sources to both the farmers and urban consumers in order to meet future demands with appropriate flows, optimizing operational goals such as network safety volumes in dams and smooth operations of actuators (valves, gates and pumps). At the same time, the generated flow-control strategies should allow maintaining the appropriate river water levels that, in turn, allows to preserve the ecological flows and the navigability of the downstream part of the river. The case study of the Guadiana river is used to show and verify the proposed optimal management methodology.
Categories
control theory, social aspects of automation, transport control.
Author keywords
modelling, control, water applications, transport on water, water management
Scientific reference
V. Puig, C. Ocampo-Martínez and R. Negenborn. Model predictive control for combined water supply and navigability/sustainability in river systems. In Transport of Water versus Transport over Water, 13-33. Springer, 2015.
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